Triple

T15557747
Position Surface form Disambiguated ID Type / Status
Subject College of Agriculture and Natural Resources E370913 entity
Predicate hasUnit P35 FINISHED
Object Department of Applied Economics and Statistics
The Department of Applied Economics and Statistics is an academic unit that focuses on applying economic theory and statistical methods to issues in agriculture, natural resources, and related fields.
E1164109 NE FINISHED

How this triple was built (4 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Department of Applied Economics and Statistics | Statement: [College of Agriculture and Natural Resources, hasUnit, Department of Applied Economics and Statistics]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Department of Applied Economics and Statistics
Context triple: [College of Agriculture and Natural Resources, hasUnit, Department of Applied Economics and Statistics]
  • A. Department of Economics and Statistics
    The Department of Economics and Statistics is an academic unit at the University of Siena focused on teaching and research in economics, statistics, and related quantitative social sciences.
  • B. Department of Applied Economics
    The Department of Applied Economics is an academic unit at Yangon University of Economics that focuses on the practical application of economic theory to real-world policy and business issues.
  • C. Department of Econometrics and Business Statistics
    The Department of Econometrics and Business Statistics is an academic unit specializing in quantitative analysis, statistical modeling, and data-driven decision-making in economics and business.
  • D. Department of Economics, Business, Mathematics and Statistics
    The Department of Economics, Business, Mathematics and Statistics is an academic unit of the University of Trieste that integrates teaching and research in economics, management, quantitative methods, and statistical sciences.
  • E. Department of Economics
    The Department of Economics is an academic unit within the Haslam College of Business that focuses on teaching and research in economic theory, policy, and applied economics.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Department of Applied Economics and Statistics
Triple: [College of Agriculture and Natural Resources, hasUnit, Department of Applied Economics and Statistics]
Generated description
The Department of Applied Economics and Statistics is an academic unit that focuses on applying economic theory and statistical methods to issues in agriculture, natural resources, and related fields.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Department of Applied Economics and Statistics
Target entity description: The Department of Applied Economics and Statistics is an academic unit that focuses on applying economic theory and statistical methods to issues in agriculture, natural resources, and related fields.
  • A. Department of Economics and Statistics
    The Department of Economics and Statistics is an academic unit at the University of Siena focused on teaching and research in economics, statistics, and related quantitative social sciences.
  • B. Department of Applied Economics
    The Department of Applied Economics is an academic unit at Yangon University of Economics that focuses on the practical application of economic theory to real-world policy and business issues.
  • C. Department of Econometrics and Business Statistics
    The Department of Econometrics and Business Statistics is an academic unit specializing in quantitative analysis, statistical modeling, and data-driven decision-making in economics and business.
  • D. Department of Economics, Business, Mathematics and Statistics
    The Department of Economics, Business, Mathematics and Statistics is an academic unit of the University of Trieste that integrates teaching and research in economics, management, quantitative methods, and statistical sciences.
  • E. Department of Economics
    The Department of Economics is an academic unit within the Haslam College of Business that focuses on teaching and research in economic theory, policy, and applied economics.
  • F. None of above. chosen

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d85cc6cf40819091f4a5facee1ebe6 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04dda3ab88190ab383333ce69fe8f completed April 16, 2026, 2:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff456427988190bddea01f5cb159d9 completed May 9, 2026, 2:32 p.m.
NEDg Description generation batch_69ff470492f48190852ede832157ed10 completed May 9, 2026, 2:39 p.m.
NED2 Entity disambiguation (via description) batch_69ff47e5647c81909b785a1212c4bc50 completed May 9, 2026, 2:42 p.m.
Created at: April 10, 2026, 4:09 a.m.